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121
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ECCV
2010
Springer
15 years 4 months ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
97
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IJSI
2008
122views more  IJSI 2008»
15 years 15 days ago
Mining Gene Expression Data using Domain Knowledge
Biology is now an information-intensive science and various research areas, like molecular biology, evolutionary biology or environmental biology, heavily depend on the availabilit...
Nicolas Pasquier, Claude Pasquier, Laurent Brisson...
77
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GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 5 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
132
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KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 2 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
132
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ISDA
2010
IEEE
14 years 10 months ago
Avoiding simplification strategies by introducing multi-objectiveness in real world problems
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...